Python

Hey Y’all! Welcome to my first Python Blog Post! Before I dive right in, I have to tell you about my doggo Tipsy! I got her as a present when I was studying for my DAT and we’ve been best friends ever since, she is a white fluffy Bishon Frise!!!

To start, in my SDS 348 class we have been learning about the interaction between R code and Python. I thought it would be neat to discuss how they interact with each other. To begin I included an R code chunk to show you how the two can work together!!

R code: 

library(reticulate)
Tipsy <- "Tipsy is a Future Dental"

Python code: 

Tipsy="Doggo"
print(r.Tipsy,Tipsy)
## Tipsy is a Future Dental Doggo

Hehehe as y’all know I aspire to become a Dentist so I thought it would only be appropriate to include my bestie in the code. This code begins with an R chunk followed by a python chunk, within the function “print” I was able to access the R defined object to make a complete sentence.

Another cool feature in Python is finding how many times a certain instance occcurs within a string. Below are a couple examples of how python can take a long string and find how many times something occurs.

The first thing were going to search for is exactly how many times does the word “dog” occur followed by anything. 

import re
x="dog doggy dogwalker dogggo odddog funnydog dogsgonewild wholetthedogsout"
re.findall(r"dog.",x) 
## ['dog ', 'dogg', 'dogw', 'dogg', 'dog ', 'dog ', 'dogs', 'dogs']

This shows that there are 8 matches of the word “dog” followed by anything.

The next example were going to search for is exactly how many times the letter d appears followed by anything than the letter g occurs. 

re.findall(r"d.g",x)
## ['dog', 'dog', 'dog', 'dog', 'dog', 'dog', 'dog', 'dog']

This example also shows that there are 8 matches of the letter “d” followed by anything than the letter “g”.

Another cool python function is being able to filter a list with the function “regex”. In this example I will use a list with multiple strings and use filter to match the pattern I want from the list. This certain list is names I thought about naming tipsy before I got her. The pattern I am looking for is how many names start with the letter “j”. 

import re 
s=["june", "junebug", "july", "bunny", "martini", "jane","joy"]

list(filter(lambda x: re.search(r'^j',x),s))
## ['june', 'junebug', 'july', 'jane', 'joy']

This list output shows that exactly 5 matches with the name that start with J were filtered from the list of potential dog names.

Another example of this same function of regex and filtering with a list can be used with looking for how many instances of “un” occur within the list on names. 

list(filter(lambda x: re.search(r'.+un', x),s))
## ['june', 'junebug', 'bunny']

This list output shows that 3 matches with the name that includes a “un” were filtered from the list of potential dog names.

Overall I hope this blog gave a small sneak peek into how R and Python can be used to interact with each other. The SDS 348 class gave me insight as to how R and Python codes are useful in coordiating with each other to produce great outputs.

Have a great summer! - Danielle De La Paz